Varol Kaptan -- Abstract

The random neural network model and some of
its applications

The Random Neural Network (RNN) is a biologically inspired neural
network model proposed by Prof. Gelenbe in which signals are
represented as discrete spikes. I will start by describing certain
properties of neuronal signalling in real biological neurons and how
these have inspired the RNN model. Next, I will introduce the mathematics
of RNN and will provide selected examples of RNN applications. These are
modelling of biological neural systems, texture recognition and
segmentation, image and video compression and multicast routing.